<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>The primary audience for this course is as follows:<br />Channel partners and reseller engineers installing, configuring, and maintaining scalable and resilient deployments of Cisco Meeting Server<br />Channel partners and reseller engineers providing presales support for scalable and resilient Cisco Meeting Server deployments<br />Customer engineers supporting scalable and resilient Cisco Meeting Server deployments</p>Overview<p>Upon completion of this course, the learner should be able to meet the following objectives:<br />Cisco Meeting Server API commands<br />Scalable and resilient deployments<br />Customization<br />Recording</p><p>In this 3-day course Cisco Meeting Server Advanced (COLLAB350), you will learn advanced techniques in installing, troubleshooting, and maintaining a single server and single server split deployment of Cisco Meeting Servers. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool.</p></div><div id="course-pills-2"><h4>Module 1: Reviewing Cisco Meeting Server Intermediate</h4><ul><li>Component parts of a Cisco Meeting Solution</li><li>Configuration steps for a Cisco Meeting Solution</li></ul><h4>Module 2: APIs</h4><ul><li>Purpose of APIs</li><li>Benefits of APIs</li><li>Types of APIs</li><li>Function of the GET, POST, PUT, and DELETE commands</li></ul><h4>Module 3: Configuring Software with an API</h4><ul><li>How a user can interact with software using an API</li><li>Download and install Chrome Postman</li><li>Other API software</li><li>Download the Cisco Meeting Server API guide</li></ul><h4>Module 4: Configuring Spaces with the Cisco Meeting Server API</h4><ul><li>Cisco Meeting Server API structure</li><li>Use Chrome Postman for information on calls and spaces with the GET command</li><li>Use Chrome Postman to post a new call space with the POST command</li><li>Use Chrome Postman to place changes in a space, including adding a member, with the PUT command</li><li>Use Chrome Postman to delete a space with the DELETE command</li></ul><h4>Module 5: Customization Configuration</h4><ul><li>Create and modify a user profile and assign users</li><li>Create and modify a dual-tone multifrequency (DTMF) profile and apply to a user profile</li><li>Modify the interactive voice response (IVR), color scheme, and background</li></ul><h4>Module 6: Planning a Resilient and Scalable Cisco Meeting Server Deployment</h4><ul><li>Resilient server solutions</li><li>Scalable server solutions</li><li>Geographically dispersed configurations and GeoDNS</li><li>Domain Name System (DNS) records required for a resilient and scalable solution</li><li>Certificate requirements for a resilient and scalable solution</li></ul><h4>Module 7: Configuring a Database Cluster</h4><ul><li>Relationship between cluster master and cluster slaves in a database cluster</li><li>Certificate requirements for a secure database cluster</li><li>Configure the certificates for a database cluster</li><li>Configure a database cluster</li></ul><h4>Module 8: Configuring a Call Bridge Cluster</h4><ul><li>Relationship between the Call Bridge and the Database</li><li>How cross-cluster spaces behave</li><li>Configure certificates for Call Bridge clustering</li><li>Storage of configuration when entering with the API and the individual web interfaces for Lightweight Directory Access Protocol (LDAP) and Call Bridge clustering</li><li>Configure a Call Bridge Cluster</li><li>Connect XMPP server to multiple Call Bridges</li></ul><h4>Module 9: Configuring Load Balancers and Trunks</h4><ul><li>Relationship between the XMPP server, Trunk and Load Balancer</li><li>Configure certificates for multiple trunks and load balancers</li><li>Configure multiple Trunks to multiple Load Balancers</li></ul><h4>Module 10: Configuring Multiple Web Bridges</h4><ul><li>Relationship between multiple Web Bridges and Call Bridges</li><li>Internal and external DNS records support for both internal and external Web Bridges</li><li>Configure certificates for multiple Web Bridges</li><li>Configure multiple Web bridges</li><li>Connect multiple Call Bridges to multiple Web Bridges</li></ul><h4>Module 11: Configuring Multiple TURN Servers</h4><ul><li>Relationship between multiple TURN servers and multiple Call Bridges</li><li>Configure certificates for multiple TURN servers</li><li>Configure multiple TURN servers</li><li>Connect multiple Call Bridges to multiple TURN servers</li></ul><h4>Module 12: Configuring Multiple Recorders</h4><ul><li>Features of the recording capability</li><li>Software, hardware, and licensing requirements for recording</li><li>DNS records</li><li>Configure the Recorder</li><li>Relationship between multiple Recorders and multiple Call Bridges</li><li>Configure a Call Bridge to use a Recorder</li><li>Configure certificates for multiple Recorders servers</li><li>Configure multiple Recorder servers</li><li>Connect multiple Call Bridges to multiple Recorder servers</li></ul><h4>Module 13: Integrating with a Resilient and Scalable Cisco Meeting Server Deployment</h4><ul><li>Integration with Cisco TelePresence Video Communication Server (VCS) or Cisco Unified Communications Manager and multiple Call Bridges</li><li>Integration with Cisco Expressway technology and multiple Call Bridges</li><li>Integration with Microsoft Skype for Business and multiple Call Bridges</li><li>Integration with Cisco TelePresence Management Suite and multiple Call Bridges</li></ul><h4>Module 14: Deploying an H.323 Gateway</h4><ul><li>Cisco preferred architecture for H.323 and Session Initiation Protocol (SIP) interoperability</li><li>Functionality of the Cisco Meeting Server H.323 gateway</li><li>Configuration the Cisco Meeting Server H.323 gateway</li></ul><h4>Module 15: Multitenancy Options</h4><ul><li>Purpose of the multitenancy capabilities</li><li>Options for multitenancy capabilities on the Cisco Meeting Server</li></ul><h4>Module 16: Customization Options</h4><ul><li>Options available to customize Cisco Meeting Apps</li><li>License keys required for customization</li><li>Web Server requirements for customization</li><li>Options available to customize recorded messaging</li><li>Customization options available for invitation text</li></ul></div>

Nexus Human

Cisco Certified Network Associate (CCNA)

Cisco Certified Network Professional certification (CCNP)

IT Certifications

AWS Certified Cloud Practitioner

Commercial & Contract Management Certification Program (CCM)

Cisco Certified Internetwork Expert (CCIE)

Cisco Meeting Server Advanced (COLLAB350)

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is recommended for IT Professionals and Consultants.</p>Overview<p>Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment.<br />Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution.<br />Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations.</p><p>This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam.</p></div><div id="course-pills-2"><h4>Module 1: Methodology &amp; Assessment</h4><ul><li>The Citrix Consulting Methodology</li><li>Citrix Consulting Methodology Use</li><li>Business Drivers</li><li>Prioritize Business Drivers</li><li>User Segmentation</li><li>User Segmentation Process</li><li>App Assessment Introduction</li><li>App Assessment Analysis</li><li>Why Perform a Capabilities Assessment?</li><li>Common Capabilities Assessment Risks</li></ul><h4>Module 2: User Layer</h4><ul><li>Endpoint Considerations</li><li>Peripherals Considerations</li><li>Citrix Workspace App Version Considerations</li><li>Citrix Workspace App Multiple Version Considerations</li><li>Network Connectivity and the User Experience</li><li>Bandwidth and Latency Considerations</li><li>Graphics Mode Design Considerations</li><li>HDX Transport Protocols Considerations</li><li>Media Content Redirection Considerations</li><li>Session Interruption Management Session Reliability Feature Considerations</li><li>Session Interruption Management Auto-Client Reconnect Feature Considerations</li><li>Session Interruption Management ICA Keep-Alive Feature Considerations</li></ul><h4>Module 3: Access Layer</h4><ul><li>Access Matrix</li><li>Access Layer</li><li>Access Layer Communications</li><li>Double-Hop Access Layer Considerations</li><li>Citrix Cloud Access Layer Considerations</li><li>Use Cases for Multiple Stores</li><li>Define Access Paths per User Group</li><li>Define Number of URLs</li><li>Configuration and Prerequisites for Access Paths</li><li>Citrix Gateway Scalability</li><li>Citrix Gateway High Availability</li><li>StoreFront Server Scalability</li><li>StoreFront Server High Availability</li></ul><h4>Module 4: Resource Layer - Images</h4><ul><li>Flexcast Models</li><li>VDA Machine Scalability</li><li>VDA Machine Sizing with NUMA</li><li>VDA Machine Sizing</li><li>VDA Machine Scalability Cloud Considerations</li><li>Scalability Testing and Monitoring</li><li>Secure VDA Machines Network Traffic</li><li>Secure VDA Machines Prevent Breakouts</li><li>Secure VDA Machines Implement Hardening</li><li>Secure VDA Machines Anti-Virus</li><li>Review of Image Methods</li><li>Citrix Provisioning Overall Benefits and Considerations</li><li>Citrix Provisioning Target Device Boot Methods</li><li>Citrix Provisioning Read Cache and Sizing</li><li>Citrix Provisioning Write Cache Type</li><li>Citrix Provisioning vDisk Store Location</li><li>Citrix Provisioning Network Design</li><li>Citrix Provisioning Scalability Considerations</li><li>Citrix Machine Creation Services Overall Benefits and Considerations</li><li>Citrix Machine Creation Services Cloning Types</li><li>Citrix Machine Creation Services Storage Locations &amp; Sizing</li><li>Citrix Machine Services Read and Write Cache</li><li>App Layering Considerations</li><li>Image Management Methods</li></ul><h4>Module 5: Resource Layer - Applications and Personalization</h4><ul><li>Application Delivery Option</li><li>Determine the Optimal Deployment Method for an App</li><li>General Application Concerns</li><li>Profile Strategy Profile Types Review</li><li>Citrix Profile Management Design Considerations</li><li>Citrix Profile Management Scaling</li><li>Citrix Profile Management Permissions</li><li>Policies Review</li><li>Optimize Logon Performance with Policies</li><li>Printing Considerations</li></ul><h4>Module 6: Control Layer</h4><ul><li>Pod Architecture Introduction</li><li>Pod Architecture Considerations</li><li>Citrix Virtual Apps and Desktops Service Design Considerations</li><li>Implement User Acceptance Testing</li><li>Load Balancing the Machine Running the VDA</li><li>Citrix Director Design Considerations</li><li>Management Console Considerations</li><li>Change Control</li><li>Delivery Controller Scalability and High Availability</li><li>Control Layer Security</li><li>Configuration Logging Considerations</li><li>Session Recording</li></ul><h4>Module 7: Hardware/Compute Layer</h4><ul><li>Hypervisor Host Hardware Considerations</li><li>Separating Workloads Considerations</li><li>Workload Considerations</li><li>VMs Per Host and Hosts Per Pool</li><li>Citrix Hypervisor Scalability</li><li>VM Considerations in Azure and Amazon Web Services</li><li>Storage Tier Considerations</li><li>Storage I/O Considerations</li><li>Storage Architecture</li><li>Storage RAID &amp; Disk Type</li><li>Storage Sizing LUNs</li><li>Storage Bandwidth</li><li>Storage in Public Cloud</li><li>Datacenter Networking Considerations</li><li>Securing Hypervisor Administrative Access</li><li>Secure the Physical Datacenter</li><li>Secure the Virtual Datacenter</li></ul><h4>Module 8: Module 8: High Availability and Multiple Location Environments</h4><ul><li>Redundancy vs. Fault Tolerance vs. High Availability</li><li>Multi-Location Architecture Considerations</li><li>Multi-Site Architecture Considerations</li><li>Global Server Load Balancing</li><li>Optimal Gateway Routing</li><li>Zone Preference and Failover</li><li>StoreFront Resource Aggregation</li><li>StoreFront Subscription Sync</li><li>Hybrid Environment Options</li><li>Citrix Provisioning Across Site</li><li>Site Database Scalability and High Availability</li><li>Citrix Provisioning Across Sites Considerations</li><li>Citrix Machine Creation Across Sites</li><li>App Layering Across Sites</li><li>Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices</li><li>Profile Management Multi-Site Replication Considerations</li><li>Folder Redirections and Other User Data in a Multi-Location Environment</li><li>Application Data Considerations</li><li>Cloud-Based Storage Replication Options</li><li>Multi-Location Printing Considerations</li><li>Zone Considerations</li><li>Active Directory Considerations</li></ul><h4>Module 9: Disaster Recovery</h4><ul><li>Tiers of Disaster Recovery</li><li>Disaster Recovery Considerations</li><li>Business Continuity Planning and Testing</li><li>Citrix Standard of Business Continuity</li></ul></div>

Certified Technology Specialist (CTS)

Service Design Courses (SDC)

Citrix

AWS Certified Solutions Architect

CWS-415 Citrix Virtual Apps and Desktops 7 Architect Design Solutions

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Experienced system administrators, system engineers, and system integrators</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Configure and manage vSphere networking and storage for a large and sophisticated enterprise<br />Use VMware vSphere Clientâ¢ to manage certificates<br />Use Identity Federation to configure VMware vCenter Server to use external identity sources<br />Use VMware vSphere Trust Authorityâ¢ to secure the infrastructure for encrypted VMs<br />Use host profiles to manage VMware ESXiâ¢ host compliance<br />Create and manage a content library for deploying virtual machines<br />Manage VM resource usage with resource pools<br />Monitor and analyze key performance indicators for compute, storage, and networking resources for ESXi hosts<br />Optimize the performance in the vSphere environment, including vCenter Server</p><p>This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphereÂ© 7 features that build a foundation for a truly scalable infrastructure, and you discuss when and where these features have the greatest effect.<br />Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization. As an exclusive benefit, those who participate in this course will receive additional premium recorded lecture material on vSphere security.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives </li></ul><h4>Network Scalability</h4><ul><li>Configure and manage vSphere distributed switches</li><li>Describe how VMware vSphereÂ© Network I/O Control enhances performance</li><li>Explain distributed switch features such as port mirroring and NetFlow </li></ul><h4>Storage Scalability</h4><ul><li>Explain why VMware vSphereÂ© VMFS is a high-performance, scalable file system</li><li>Explain VMware vSphereÂ© Storage APIs - Array Integration, VMware vSphereÂ© API for Storage Awareness?, and vSphere APIs for I/O filtering</li><li>Configure and assign virtual machine storage policies</li><li>Create VMware vSAN? storage policies</li><li>Recognize components of the VMware vSphereÂ© Virtual Volumes? architecture</li><li>Configure VMware vSphereÂ© Storage DRS? and VMware vSphereÂ© Storage I/O Control</li></ul><h4>Host and Management Scalability</h4><ul><li>Use the vSphere Client to manage vSphere certificates</li><li>Describe identity federation and recognize its use cases</li><li>Configure identity federation to allow vCenter Server to use external identity provider</li><li>Describe the benefits and use cases of vSphere Trust Authority</li><li>Configure vSphere Trust Authority</li><li>Use host profiles to manage ESXi configuration compliance</li><li>Create a local content library and subscribe to a published content library</li><li>Deploy VMs from a content library</li><li>Create and manage resource pools in a cluster</li><li>Describe how scalable shares work</li></ul><h4>CPU Optimization</h4><ul><li>Explain the CPU scheduler operation and other features that affect CPU performance</li><li>Explain NUMA and vNUMA support</li><li>Use esxtop to monitor key CPU performance metrics</li></ul><h4>Memory Optimization</h4><ul><li>Explain ballooning, memory compression, transparent page sharing, and host-swapping techniques for memory reclamation when memory is overcommitted</li><li>Use esxtop to monitor key memory performance metrics</li></ul><h4>Storage Optimization</h4><ul><li>Describe storage queue types and other factors that affect storage performance</li><li>Discuss vSphere support for NVMe and iSER technologies</li><li>Use esxtop to monitor key storage performance metrics</li></ul><h4>Network Optimization</h4><ul><li>Explain performance features of network adapters</li><li>Explain the performance features of vSphere networking</li><li>Use esxtop to monitor key network performance metrics</li></ul><h4>vCenter Server Performance Optimization</h4><ul><li>Describe the factors that influence vCenter Server performance</li><li>Use VMware vCenterÂ© Server Appliance? tools to monitor resource use Supplemental Content</li></ul><h4>Appendix A: vSphere Auto Deploy</h4><ul><li>Explain the purpose of VMware vSphereÂ© ESXi ? Image Builder CLI</li><li>Explain the purpose of VMware vSphereÂ© Auto Deploy?</li><li>Describe how an autodeployed ESXi host boots</li><li>Configure a vSphere Auto Deploy environment</li></ul><h4>Appendix B: vSphere Security</h4><ul><li>Configure ESXi Host Access and Authentication</li><li>Recognize strategies for securing vSphere components, such as vCenter Server, ESXi hosts, and virtual machines</li><li>Describe vSphere support for security standards and protocols</li><li>Describe virtual machine security features</li><li>Describe the components of a VM encryption architecture</li><li>Create, manage, and migrate encrypted VMs</li><li>Encrypt core dumps</li><li>List VM encryption events and alarms</li></ul></div>

VMware Vsphere

vSphere

Microsoft Virtual Academy (MVA)

VMware vSphere: Optimize and Scale [v7.0]

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>Overview<p>How to implement advanced administration concepts such as backups, disaster recovery, scalability and redundancy for a Citrix Virtual Apps and Desktop 7 Site.<br />Advanced troubleshooting techniques to troubleshoot Citrix Virtual Apps and Desktop 7.<br />Security considerations and configurations for Citrix Apps and Desktop 7 site including multi-site management using zones.<br />Install and initialize WEM and integrate into Citrix Virtual Apps and Desktops and Citrix DaaS.<br />Configure WEM features to improve the end user environment and virtual resource consumption.<br />Migrate an on-premises WEM deployment to WEM service</p><p>Designed for experienced IT professionals, this course builds on the foundational implementation and management skills introducing scalability, redundancy, and security configurations. You will learn to build to implement Workspace Environment Management to improve logon times, centralize user settings management, and optimize the performance of machines. In the advanced troubleshooting section, you will learn techniques to investigate many of the common issues that can affect environment health and how to solve issues more effectively. You will leave this course with a good understanding of how to manage more complex solutions such as multi-location environments with configurations around StoreFront, the Delivery Controllers, Cloud Connectors, and HDX.</p></div><div id="course-pills-2"><h4>Module 1: Introduction to Citrix Virtual  Apps and Desktops 7 Advanced  Configuration</h4><ul><li>Citrix Virtual Apps and Desktops Deployments - Advanced Configuration</li></ul><h4>Module 2: Planning: Redundancy and  Scalability</h4><ul><li>Citrix Virtual Apps and Desktops Redundancy and Scalability</li><li>StoreFront and Citrix Gateway Redundancy and Scalability</li><li>Site Infrastructure Redundancy and Scalability</li><li>Machines Running the Virtual Delivery Agent</li></ul><h4>Module 3: Planning: Virtual Apps and  Desktops Environment with Multiple  Locations</h4><ul><li>Zones</li><li>VDA Registration in a Multi-Zone Environment</li><li>Zone Preference</li><li>Optimal Gateway Routing and Zones</li><li>StoreFront Resource Aggregation</li><li>Managing StoreFront Store Subscriptions in a Multi-Location Environment</li></ul><h4>Module 4: Planning: Backups and  Disaster Recovery</h4><ul><li>Backups </li><li>Disaster Recovery Considerations </li><li>Disaster Recovery Process </li></ul><h4>Module 5: Planning: Advanced  Authentication Methods</h4><ul><li>Multi-factor Authentication - RADIUS and One Time Passwords (OTP)</li><li>Multi-factor Authentication ? Smart Card Authentication</li><li>Federated Authentication</li></ul><h4>Module 6: Planning: App and Data  Security</h4><ul><li>Introduction to Application Security</li><li>Preventing Jailbreak Attacks</li><li>Minimizing the Impact of Attacks</li></ul><h4>Module 7: Planning: Virtual Delivery  Agent Security</h4><ul><li>Transport Layer Security (TLS) Virtual Delivery Agent (VDA) Encryption</li><li>Microsoft Group Policy Objects (GPOs) and Citrix Policies</li><li>Image Management</li></ul><h4>Module 8: Introduction to  Troubleshooting</h4><ul><li>Troubleshooting Methodology</li><li>Resource Tools and Utilities</li><li>Introduction to PowerShell</li></ul><h4>Module 9: Troubleshoot Access Issues</h4><ul><li>Troubleshooting StoreFront</li><li>Citrix ADC and Citrix Gateway ? Workflow and Troubleshooting Overview</li><li>Citrix ADC and Citrix Gateway - Troubleshooting Access and Authentication</li><li>Citrix ADC and Citrix Gateway - Troubleshooting App/Desktop Launch</li></ul><h4>Module 10: Troubleshoot Delivery  Controller Issues</h4><ul><li>Validating FlexCast Management Architecture (FMA) Services</li></ul><h4>Module 11: Troubleshoot Virtual Delivery  Agent (VDA) Registration Issues</h4><ul><li>Troubleshooting Virtual Delivery Agent (VDA) </li><li>Registration</li></ul><h4>Module 12: Troubleshoot HDX  Connection Issues</h4><ul><li>Troubleshooting HDX Connections</li></ul><h4>Module 13: Introduction to Workspace  Environment Management (WEM)</h4><ul><li>WEM Features and Benefits</li></ul><h4>Module 14: Planning ? WEM Architecture and  Component Communications</h4><ul><li>WEM On-Premises Components and Deployments</li><li>WEM Service Components and Deployments</li><li>WEM Component Communication Workflows</li></ul><h4>Module 15: Planning - WEM On-Premises  Deployment Installation</h4><ul><li>On-Premises WEM: Leading Practice </li><li>Installation Prerequisites and Steps</li><li>On-Premises WEM: ADMX Template Configuration</li><li>Choosing a Security Principal to run the WEM Infrastructure Service</li><li>Creating the WEM Database</li><li>Running the WEM Infrastructure Service Configuration Utility</li><li>On-Premises WEM: Agent Installation</li></ul><h4>Module 16: Planning ? WEM Service  Deployment Installation</h4><ul><li>WEM On-Premises vs WEM Service</li><li>WEM Service: Leading Practice Installation Prerequisites and Steps</li><li>WEM Service: ADMX Template Configuration</li><li>WEM Service: Agent Installation</li></ul><h4>Module 17: Planning ? WEM Consoles  and Initial Setup</h4><ul><li>On-Premises WEM and WEM Service Consoles</li><li>WEM Initial Setup</li><li>Migrating GPO settings to WEM</li></ul><h4>Module 18: Planning ? WEM System and  Log On Optimization</h4><ul><li>WEM System Optimization Overview</li><li>WEM CPU Management</li><li>WEM Memory Management</li><li>Additional System Optimization Features</li><li>WEM Log On Optimization Overview</li><li>WEM Assigned Actions</li><li>WEM Environmental Settings</li><li>Citrix Profile Management In WEM</li></ul><h4>Module 19: Planning ? WEM Security and  Lockdown Features</h4><ul><li>WEM Security Management Features</li><li>Privilege Elevation and Process Hierarchy Control</li><li>WEM Transformer</li></ul><h4>Module 20: Planning - The WEM Agent</h4><ul><li>WEM Settings Processing and WEM Agent Caches</li><li>WEM Agent Integration with Citrix Virtual Apps and Desktops and Citrix DaaS</li></ul><h4>Module 21: Planning ? WEM Monitoring,  Reporting, and Troubleshooting</h4><ul><li>WEM Monitoring and Reporting</li><li>WEM Agent Troubleshooting</li><li>WEM Service Troubleshooting</li></ul><h4>Module 22: Planning ? Upgrading WEM  and Migration to WEM Service</h4><ul><li>Upgrading Workspace Environment Management</li><li>WEM On-Premises Migration to WEM Service</li></ul><h4>Module 23: Rolling Out a WEM  Deployment</h4><ul><li>WEM Agent User Options on Windows </li><li>Desktops</li></ul><h4>Module 24: Managing a WEM  Deployment</h4><ul><li>Measuring WEM Success</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

CWS-322 Citrix Virtual Apps and Desktops 7 Advanced Configuration and WEM Administration

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>System administrators<br />System engineers</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Describe the software-defined data center (SDDC)<br />Explain the vSphere components and their function in the infrastructure<br />Install and configure VMware ESXiâ¢ hosts<br />Deploy and configure VMware vCenter Server Applianceâ¢<br />Use VMware vSphere Clientâ¢ to manage the vCenter Server inventory and the vCenter Server configuration<br />Manage, monitor, back up, and protect vCenter Server Appliance<br />Create virtual networks with vSphere standard switches<br />Describe the storage technologies supported by vSphere<br />Configure virtual storage using iSCSI and NFS storage<br />Create and manage VMware vSphere VMFS datastores<br />Use the vSphere Client to create virtual machines, templates, clones, and snapshots<br />Create a content library and deploy virtual machines from templates in the library<br />Manage virtual machine resource use and manage resource pools<br />Migrate virtual machines with VMware vSphere vMotion and VMware vSphere Storage vMotion<br />Create and manage a vSphere cluster that is enabled with VMware vSphere High Availability and VMware vSphere Distributed Resource Schedulerâ¢<br />Create virtual networks with VMware vSphere Distributed Switchâ¢ and enable distributed switch features<br />Discuss solutions for managing the vSphere life cycle<br />Use VMware vSphere Lifecycle Managerâ¢ to apply patches and perform upgrades to ESXi hosts and virtual machines<br />Use host profiles to manage ESXi configuration compliance<br />Describe how vSphere storage APIs help storage systems integrate with vSphere<br />Configure and use virtual machine storage policies<br />Discuss the purpose and capabilities of VMware vSphere with Kubernetes and how it fits into the VMware Tanzuâ¢ portfolio</p><p>This five-day, intensive course takes you from introductory to advanced VMware vSphereÂ© 7 management skills. Building on the installation and configuration content from our best-selling course, you will also develop advanced skills needed to manage and maintain a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you will install, configure and manage vSphere 7. You will explore the features that build a foundation for a truly scalable infrastructure and discuss when and where these features have the greatest effect. This course prepares you to administer a vSphere infrastructure for an organization of any size using vSphere 7, which includes VMware ESXi? 7 and VMware vCenter ServerÂ© 7.</p></div><div id="course-pills-2"><h4>Course Introduction </h4><ul><li>Introductions and course logistics </li><li>Course objectives</li></ul><h4>Introduction to vSphere and the Software-Defined Data Center</h4><ul><li>Explain basic virtualization concepts</li><li>Describe how vSphere fits into the software-defined data center and the cloud infrastructure</li><li>Explain how vSphere interacts with CPUs, memory, networks, and storage </li><li>Recognize the user interfaces for accessing the vCenter Server system and ESXi hosts </li><li>Use VMware Host Client? to access and manage ESXi host</li></ul><h4>Virtual Machines </h4><ul><li>Create and remove a virtual machine </li><li>Provision a virtual machine with virtual devices</li><li>Identify the files that make up a virtual machine </li><li>Explain the importance of VMware Tools</li></ul><h4>vCenter Server</h4><ul><li>Describe the vCenter Server architecture </li><li>Discuss how ESXi hosts communicate with vCenter Server </li><li>Deploy and configure vCenter Server Appliance </li><li>Use the vSphere Client to manage the vCenter Server inventory </li><li>Add data center, organizational objects, and hosts to vCenter Server </li><li>Use roles and permissions to enable users to access objects in the vCenter Server inventory </li><li>Back up vCenter Server Appliance  </li><li>Monitor vCenter Server tasks, events, and appliance health </li><li>Use vCenter Server High Availability to protect a vCenter Server Appliance</li></ul><h4>Configuring and Managing Virtual Networks </h4><ul><li>Create and manage standard switches</li><li>Describe the virtual switch connection types</li><li>Configure virtual switch security, traffic-shaping and load-balancing policies </li><li>Compare vSphere distributed switches and standard switches</li></ul><h4>Configuring and Managing Virtual Storage</h4><ul><li>Identify storage protocols and storage device types  </li><li>Discuss ESXi hosts using iSCSI, NFS, and Fibre Channel storage</li><li>Create and manage VMFS and NFS datastores</li><li>Explain how multipathing works with iSCSI, NFS, and Fibre Channel storage</li><li>Deploy virtual machines on a VMware vSAN? datastore</li></ul><h4>Virtual Machine Management</h4><ul><li>Use templates and cloning to deploy new virtual machines</li><li>Modify and manage virtual machines</li><li>Create a content library and deploy virtual machines from templates in the library</li><li>Dynamically increase the size of a virtual disk</li><li>Use customization specification files to customize a new virtual machine</li><li>Perform vSphere vMotion and vSphere Storage vMotion migrations</li><li>Create and manage virtual machine snapshots</li><li>Examine the features and functions of VMware vSphereÂ© Replication?</li></ul><h4>Resource Management and Monitoring</h4><ul><li>Discuss CPU and memory concepts in a virtualized environment</li><li>Describe what over commitment of a resource means</li><li>Describe methods for optimizing CPU and memory usage</li><li>Use various tools to monitor resource use</li><li>Create and use alarms to report certain conditions or events</li></ul><h4>vSphere Clusters </h4><ul><li>Describe options for making a vSphere environment highly available</li><li>Explain the vSphere HA architecture </li><li>Configure and manage a vSphere HA cluster</li><li>Examine the features and functions of VMware vSphereÂ© Fault Tolerance </li><li>Configure a vSphere cluster using ESXi Cluster Quickstart </li><li>Describe the functions of a vSphere DRS cluster</li><li>Create a vSphere DRS cluster</li></ul><h4>Network Scalability</h4><ul><li>Configure and manage vSphere distributed switches</li><li>Describe how VMware vSphereÂ© Network I/O Control enhances performance </li><li>Explain distributed switch features such as port mirroring and NetFlow</li></ul><h4>vSphere Lifecycle Management</h4><ul><li>Describe how VMware vSphereÂ© Lifecycle Manager? works </li><li>Use vSphere Lifecycle Manager to update ESXi hosts in a cluster</li></ul><h4>Host and Management Scalability</h4><ul><li>Use host profiles to manage ESXi configuration compliance </li><li>Create and manage resource pools in a cluster </li></ul><h4>Storage Scalability</h4><ul><li>Explain why VMware vSphereÂ© VMFS is a highperformance, scalable file system </li><li>Explain VMware vSphereÂ© Storage APIs - Array Integration, VMware vSphereÂ© API for Storage Awareness?, and vSphere APIs for I/O Filtering</li><li>Configure and assign virtual machine storage policies </li><li>Create VMware vSAN? storage policies </li><li>Configure VMware vSphereÂ© Storage DRS? and VMware vSphereÂ© Storage I/O Control </li><li>Discuss vSphere support for NVMe and iSER</li></ul><h4>Introduction to vSphere with Kubernetes </h4><ul><li>Differentiate between containers and virtual machines </li><li>Identify the parts of a container system</li><li>Recognize the basic architecture of Kubernetes</li><li>Describe a basic Kubernetes workflow </li><li>Describe the purpose of vSphere with Kubernetes and how it fits into the VMware Tanzu portfolio</li><li>Explain the vSphere with Kubernetes supervisor cluster</li><li>Describe the Tanzu Kubernetes Grid service </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br />Notes<p>Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC)</p><p>Nexus Humans VMware vSphere: Fast Track [v7.0] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the VMware vSphere: Fast Track [v7.0] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

VMware vSphere: Fast Track [v7.0]

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers.<br />Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.</p>Overview<p>Apply a tool set of questions, techniques and design considerations<br />Define application requirements and express them objectively as KPIs, SLO's and SLI's<br />Decompose application requirements to find the right microservice boundaries<br />Leverage Google Cloud developer tools to set up modern, automated deployment pipelines<br />Choose the appropriate Google Cloud Storage services based on application requirements<br />Architect cloud and hybrid networks<br />Implement reliable, scalable, resilient applications balancing key performance metrics with cost<br />Choose the right Google Cloud deployment services for your applications<br />Secure cloud applications, data and infrastructure<br />Monitor service level objectives and costs using Stackdriver tools</p><p>This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.</p></div><div id="course-pills-2"><h4>Defining the Service</h4><ul><li>Describe users in terms of roles and personas.</li><li>Write qualitative requirements with user stories.</li><li>Write quantitative requirements using key performance indicators (KPIs).</li><li>Evaluate KPIs using SLOs and SLIs.</li><li>Determine the quality of application requirements using SMART criteria.</li></ul><h4>Microservice Design and Architecture</h4><ul><li>Decompose monolithic applications into microservices.</li><li>Recognize appropriate microservice boundaries.</li><li>Architect stateful and stateless services to optimize scalability and reliability.</li><li>Implement services using 12-factor best practices.</li><li>Build loosely coupled services by implementing a well-designed REST architecture.</li><li>Design consistent, standard RESTful service APIs.</li></ul><h4>DevOps Automation</h4><ul><li>Automate service deployment using CI/CD pipelines.</li><li>Leverage Cloud Source Repositories for source and version control.</li><li>Automate builds with Cloud Build and build triggers.</li><li>Manage container images with Google Container Registry.</li><li>Create infrastructure with code using Deployment Manager and Terraform.</li></ul><h4>Choosing Storage Solutions</h4><ul><li>Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost.</li><li>Store binary data with Cloud Storage.</li><li>Store relational data using Cloud SQL and Spanner.</li><li>Store NoSQL data using Firestore and Cloud Bigtable.</li><li>Cache data for fast access using Memorystore.</li><li>Build a data warehouse using BigQuery.</li></ul><h4>Google Cloud and Hybrid Network Architecture</h4><ul><li>Design VPC networks to optimize for cost, security, and performance.</li><li>Configure global and regional load balancers to provide access to services.</li><li>Leverage Cloud CDN to provide lower latency and decrease network egress.</li><li>Evaluate network architecture using the Cloud Network Intelligence Center.</li><li>Connect networks using peering and VPNs.</li><li>Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect.</li></ul><h4>Deploying Applications to Google Cloud</h4><ul><li>Choose the appropriate Google Cloud deployment service for your applications.</li><li>Configure scalable, resilient infrastructure using Instance Templates and Groups.</li><li>Orchestrate microservice deployments using Kubernetes and GKE.</li><li>Leverage App Engine for a completely automated platform as a service (PaaS).</li><li>Create serverless applications using Cloud Functions.</li></ul><h4>Designing Reliable Systems</h4><ul><li>Design services to meet requirements for availability, durability, and scalability.</li><li>Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures.</li><li>Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns.</li><li>Design resilient data storage with lazy deletion.</li><li>Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis.</li></ul><h4>Security</h4><ul><li>Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits.</li><li>Leverage Cloud Security Command Center to help identify vulnerabilities.</li><li>Simplify cloud governance using organizational policies and folders.</li><li>Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform.</li><li>Manage the access and authorization of resources by machines and processes using service accounts.</li><li>Secure networks with private IPs, firewalls, and Private Google Access.</li><li>Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor.</li></ul><h4>Maintenance and Monitoring</h4><ul><li>Manage new service versions using rolling updates, blue/green deployments, and canary releases.</li><li>Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data.</li><li>Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards.</li><li>Use Uptime Checks to determine service availability.</li><li>Respond to service outages using Cloud Monitoring Alerts.</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Architecting with Google Cloud: Design and Process training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Architecting with Google Cloud: Design and Process course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

AWS Certified Developer

Cloud Architecture

Google Cloud

Architecting with Google Cloud: Design and Process

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>Deployment engineer<br />Network engineer<br />Sales engineer</p>Overview<p></p><p><span>After taking this course, you should be able to:</span></p><br /><p><span>Describe the Cisco conferencing architecture including cloud, hybrid, and on-premises conferencing</span></p><br /><p><span>Describe the physical deployment options and deployment models for Cisco Meeting Server, including Cisco Meeting Server 1000, 2000, and virtual machine</span></p><br /><p><span>Configure a Cisco Meeting Server single combined deployment for Web-Real Time Communications (WebRTC) endpoints within the enterprise</span></p><br /><p><span>Use APIs and the Cisco Meeting Server API Guide to configure profiles using Postman and the Webadmin API tool</span></p><br /><p><span>Configure a scalable and resilient deployment of Cisco Meeting Server with three servers for WebRTC endpoints within the enterprise</span></p><br /><p><span>Configure a scalable and resilient deployment of Cisco Meeting Server to support standard Session Initiation Protocol (SIP) and WebRTC connectivity outside the enterprise</span></p><br /><p><span>Configure a scalable and resilient deployment of Cisco Meeting Server to support recording and streaming of conferences</span></p><br /><p><span>Configure Cisco Unified Communications Manager and Cisco Meeting Server to support Rendezvous, Scheduled, and Ad-hoc conferencing for Cisco Unified CM registered endpoints</span></p><br /><p><span>Configure Cisco Meeting Server to integrate with a preconfigured on-premise Microsoft Skype for Business installation</span></p><br /><p><span>Install Cisco TelePresence Management Suite (Cisco TMS) and Cisco TelePresence Management Suite for Microsoft Exchange (Cisco TMSXE) on a single Microsoft Windows 2012 server and connect to an existing SQL environment</span></p><br /><p><span>Install and integrate Cisco Meeting Management with Cisco TMS and Cisco Meeting Server</span></p><br /><p><span>Set up and manage a scheduled conference with Cisco TMS and Cisco Meeting Management</span></p><br /><p><span>Capture and analyze logs from Cisco Meeting Server and Cisco Meeting Manager to diagnose faults, including a SIP connection error</span></p><p></p><p>The Implementing Cisco Collaboration Conferencing (CLCNF) v1.0 course focuses on CiscoÂ© on-premises conferencing architecture and solutions. You will gain knowledge and skills to design and implement common conferencing deployment scenarios of Cisco Meeting Server, its integration with call control features such as Cisco Unified Communications Manager and Cisco Expressway, and other Cisco collaboration conferencing devices.This course offers lessons and hands-on labs to prepare you for the 300-825 Implementing Cisco Collaboration Conferencing (CLCNF) exam.</p></div><div id="course-pills-2"><h4>Course outline</h4><ul><li>Describing Cisco Conferencing Architecture</li><li>Configuring a Single Combined Deployment</li><li>Installing Cisco Meeting Server</li><li>Using APIs with Cisco Meeting Server</li><li>Configuring a Cisco Meeting Server Scalable and Resilient Deployment</li><li>Configuring Business to Business (B2B) and WebRTC Firewall Traversal Connectivity for Cisco Meeting Server</li><li>Configuring Recording and Streaming with Cisco Meeting Server</li><li>Troubleshooting Cisco Meeting Server</li><li>Integrating Cisco Meeting Server with Cisco Unified CM</li><li>Integrating Cisco Meeting Server with Microsoft Skype for Business</li><li>Installing and Operating Cisco TMS and Cisco TMSXE</li><li>Installing and Integrating Cisco Meeting Management</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cisco Implementing Cisco Collaboration Conferencing v2.0 (CLCNF) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cisco Implementing Cisco Collaboration Conferencing v2.0 (CLCNF) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Certificate of Completion (CCL)

Cisco Certified Entry Networking Technician (CCENT)

Cisco Implementing Cisco Collaboration Conferencing v2.0 (CLCNF)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Senior Executives<br />CIOs and CTOs<br />Business Intelligence Executives<br />Marketing Executives<br />Data &amp; Business Analytics Specialists<br />Innovation Specialists &amp; Entrepreneurs<br />Academics, and other people interested in Big Data</p>Overview<p>More specifically, BDAW addresses advanced big data architecture topics, including, data formats, transformation, real-time, batch and machine learning processing, scalability, fault tolerance, security and privacy, minimizing the risk of an unsound architecture and technology selection.</p><p>Big Data Architecture Workshop (BDAW) is a learning event that addresses advanced big data architecture topics. BDAW brings together technical contributors into a group setting to design and architect solutions to a challenging business problem. The workshop addresses big data architecture problems in general, and then applies them to the design of a challenging system. Throughout the highly interactive workshop, students apply concepts to real-world examples resulting in detailed synergistic discussions. The workshop is conducive for students to learn techniques for architecting big data systems, not only from Cloudera?s experience but also from the experiences of fellow students.</p></div><div id="course-pills-2"><h4>Workshop Application Use Cases</h4><ul><li>Oz Metropolitan</li><li>Architectural questions</li><li>Team activity: Analyze Metroz Application Use Cases</li></ul><h4>Application Vertical Slice</h4><ul><li>Definition</li><li>Minimizing risk of an unsound architecture</li><li>Selecting a vertical slice</li><li>Team activity: Identify an initial vertical slice for Metroz</li></ul><h4>Application Processing</h4><ul><li>Real time, near real time processing</li><li>Batch processing</li><li>Data access patterns</li><li>Delivery and processing guarantees</li><li>Machine Learning pipelines</li><li>Team activity: identify delivery and processing patterns in Metroz, characterize response time requirements, identify Machine Learning pipelines</li></ul><h4>Application Data</h4><ul><li>Three V?s of Big Data</li><li>Data Lifecycle</li><li>Data Formats</li><li>Transforming Data</li><li>Team activity: Metroz Data Requirements</li></ul><h4>Scalable Applications</h4><ul><li>Scale up, scale out, scale to X<br />Determining if an application will scale<br />Poll: scalable airport terminal designs<br />Hadoop and Spark Scalability<br />Team activity: Scaling Metroz</li></ul><h4>Fault Tolerant Distributed Systems</h4><ul><li>Principles<br />Transparency<br />Hardware vs. Software redundancy<br />Tolerating disasters<br />Stateless functional fault tolerance<br />Stateful fault tolerance<br />Replication and group consistency<br />Fault tolerance in Spark and Map Reduce<br />Application tolerance for failures<br />Team activity: Identify Metroz component failures and requirements</li></ul><h4>Security and Privacy</h4><ul><li>Principles</li><li>Privacy</li><li>Threats</li><li>Technologies</li><li>Team activity: identify threats and security mechanisms in Metroz</li></ul><h4>Deployment</h4><ul><li>Cluster sizing and evolution</li><li>On-premise vs. Cloud</li><li>Edge computing</li><li>Team activity: select deployment for Metroz</li></ul><h4>Technology Selection</h4><ul><li>HDFS</li><li>HBase</li><li>Kudu</li><li>Relational Database Management Systems</li><li>Map Reduce</li><li>Spark, including streaming, SparkSQL and SparkML</li><li>Hive</li><li>Impala</li><li>Cloudera Search</li><li>Data Sets and Formats</li><li>Team activity: technologies relevant to Metroz</li></ul><h4>Software Architecture</h4><ul><li>Architecture artifacts</li><li>One platform or multiple, lambda architecture</li><li>Team activity: produce high level architecture, selected technologies, revisit vertical slice</li><li>Vertical Slice demonstration</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Big Data Architecture Workshop training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Big Data Architecture Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Data Engineering

Big Data Analytics

Data Architecture

Data Skills

Big Data

Big Data Architecture Workshop

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>System integrators, Consultants, Solution architects</p>Overview<p>By the end of the course, you should be able to meet the following objectives:<br />Create a vSphere design given a case study<br />Identify and assess the business objectives of the vSphere environment<br />Identify business requirements, constraints, assumptions, and risks, for all layers in the vSphere environment<br />Apply a framework to a design<br />Analyze design choices for vCenter, ESXi, storage, networking, vSphere clusters, and virtual machines<br />Identify design decisions to ensure manageability, which include scalability, capacity planning and lifecycle management<br />Identify design decisions to ensure that the vSphere environment is highly available<br />Identify design decisions to ensure that the vSphere environment performs well<br />Identify design decisions to ensure that the vSphere environment is secure<br />Identify design decisions to ensure that the vSphere environment can recover from data loss or disaster</p><p>This three-day course equips you with the knowledge, skills, and abilities to design a VMware vSphere 8 virtual infrastructure. You follow a proven approach to design a virtualization solution that ensures availability, manageability, performance, recoverability, and security. The approach presented follows VMware best practices. This course discusses the benefits and risks of available design alternatives and provides information to support making sound design decisions.</p></div><div id="course-pills-2"><h4>Course Introduction</h4><ul><li>Introductions and course logistics</li><li>Course objectives</li></ul><h4>Infrastructure Assessment</h4><ul><li>Describe various design framework principles</li><li>Follow a proven process to design a virtualization solution</li><li>Define customer business objectives and requirements</li><li>Use a systematic method to evaluate and document a conceptual model</li><li>Create a logical design from a conceptual model</li><li>Recognize key information contained in the physical design</li></ul><h4>Designing for Manageability: Capacity Planning</h4><ul><li>Make capacity planning design decisions that adhere to business requirements</li><li>Design capacity planning strategies that meet the needs of the vSphere environment and follow VMware best practices</li><li>Calculate compute and storage requirements for the VMs in the vSphere environment</li></ul><h4>Designing for Manageability: Scalability</h4><ul><li>Make scalability design decisions that adhere to business requirements</li><li>Design scalability strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul><h4>Designing for Manageability: Lifecycle Management</h4><ul><li> Make lifecycle management design decisions that adhere to business requirements</li><li>Design lifecycle management strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul><h4>Designing for Availability</h4><ul><li>Make availability design decisions that adhere to business requirements</li><li>Design availability strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul><h4>Designing for Performance</h4><ul><li>Make performance design decisions that adhere to business requirements</li><li>Design performance strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul><h4>Designing for Security</h4><ul><li>Make security design decisions that adhere to business requirements</li><li>Design security strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul><h4>Designing for Recoverability</h4><ul><li>Make recoverability design decisions that adhere to business requirements</li><li>Design recoverability strategies that meet the needs of the vSphere environment and follow VMware best practices</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br />Notes<p>Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC)</p><p>Nexus Humans VMware vSphere: Design [V8] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the VMware vSphere: Design [V8] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Design & Technology Courses (DT)

Trainers Course

VMware vSphere: Design [V8]

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Ideal candidate for this course Consultants Pre-sales Engineers Sales Engineers Systems Engineers Solutions Architects</p>Overview<p>This course teaches advanced level HPE Server technologies.  Topics Include:HPE Apollo ServersHPE Moonshot ServersHPE Integrity SuperdomeX ServersManagement ToolsCustomer Engagement Skills</p><p>This course teaches advanced level HPE Server technologies.  Topics Include:HPE Apollo ServersHPE Moonshot ServersHPE Integrity SuperdomeX ServersManagement ToolsCustomer Engagement Skills</p></div><div id="course-pills-2"><h4>Recognizing Industry Trends </h4><ul><li>Describe trends affecting enterprises and explain how these trends lead to the four Transformation Describe key business challenges enterprises are facing. Review the role of a server architect, emphasizing how the architect helps companies. Provide an overview of the HPE enterprise server solutions covered in this course: Apollo solutions Moonshot Integrity Superdome X</li></ul><h4>Gathering Customer Requirements</h4><ul><li>Identify key decision makers and explain how to engage them in a discussion about the company?s business requirements and challenges Obtain data and documentation required to understand the company? business requirements Explain best practices for creating requirements statements and documents</li></ul><h4>Advanced Architecture for Server Solutions</h4><ul><li>Analyze the special needs of data, High Performance Computing (HPC), and mission-critical workloads Given a customers? specific requirements, architect a solution for a data, HPC, and mission critical workloads</li></ul><h4>HPE Apollo Solutions for HPC</h4><ul><li>Explain the features and benefits of HPE Apollo 2000, 6000, and 8000 solutions Position HPE Apollo 2000 and 6000 solutions for the right use cases and workloads Create an implementation plan for an HPE Apollo 2000 or 6000 solution, including plans for the proper performance, scalability, high availability, and management</li></ul><h4>HPE Apollo 4000 for Data-Driven Organizations</h4><ul><li>Briefly describe the HPE Apollo 4000 portfolio Position HPE Apollo 4000 solutions for the right use cases Create an implementation plan for an HPE Apollo 4000 solution, including plans for the proper performance, scalability, and high availability </li></ul><h4>HPE Moonshot Solutions</h4><ul><li>Briefly describe the HPE Moonshot portfolio Position HPE Moonshot solutions for the right use cases Explain options and best practices for designing the networking component of an HPE Moonshot solution</li></ul><h4>HPE Moonshot Workloads </h4><ul><li>Position HPE Moonshot cartridges for the right use cases and workloads Create an implementation plan for the following solutions, including plans for the proper performance, scalability, and high availability: Big data and analytics solution Video processing solution Mobile workspace solution Web infrastructure solution</li></ul><h4>HPE Integrity Superdome X Solutions</h4><ul><li>Explain the benefits of the HPE Integrity Superdome X and describe its available options Explain the benefits of nPar and RAS features for HPE Integrity X solutions Position HPE Integrity Superdome X solutions for the right use cases Create an implementation plan for HPE Integrity X solutions, including plans for the proper performance, scalability, fault tolerance, high availability, and manageability</li></ul><h4>Monitoring and Managing HPE Solutions</h4><ul><li>Recommend and substantiate the HPE management tools that optimize administrative operations for various customer environments Explain the benefits of the HPE Representational State Transfer (REST) application program interface (API)</li></ul><h4>Working with Customer Business Financials </h4><ul><li>Demonstrate business acumen through an ability to analyze financial statements Define basic financial terms used when talking with a customer's executive officers Calculate key performance indicators (KPIs) to analyze a customer's financial health and understand industry and company trends Use HPE tools analyze a company's financial position</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Architecting Adv HPE Server Solutions Rev 16.21 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Architecting Adv HPE Server Solutions Rev 16.21 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Architecting Adv HPE Server Solutions Rev 16.21

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions.</p> <p>Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:</p> <ul> <li><p>Azure compute technologies such as VMs, containers and serverless solutions</p> </li> <li><p>Azure virtual networking to include load balancers</p> </li> <li><p>Azure Storage technologies (unstructured and databases)</p> </li> <li><p>General application design concepts such as messaging and high availability</p> </li> </ul><p></p><p></p><p>This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.</p><p></p>Prerequisites<p>Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of:  </p><li>Azure Active Directory</li>  <li>Azure compute technologies such as VMs, containers and serverless solutions</li>  <li>Azure virtual networking to include load balancers</li>  <li>Azure Storage technologies (unstructured and databases)</li>  <li>General application design concepts such as messaging and high availability</li>  <li>AZ-104T00 - Microsoft Azure Administrator<p></p></li></div><div id="course-pills-2"><h3>1 - Design governance</h3> <ul> <li>Design for governance</li> <li>Design for management groups</li> <li>Design for subscriptions</li> <li>Design for resource groups</li> <li>Design for resource tags</li> <li>Design for Azure Policy</li> <li>Design for role-based access control (RBAC)</li> <li>Design for Azure landing zones</li> </ul> <h3>2 - Design an Azure compute solution</h3> <ul> <li>Choose an Azure compute service</li> <li>Design for Azure Virtual Machines solutions</li> <li>Design for Azure Batch solutions</li> <li>Design for Azure App Service solutions</li> <li>Design for Azure Container Instances solutions</li> <li>Design for Azure Kubernetes Service solutions</li> <li>Design for Azure Functions solutions</li> <li>Design for Azure Logic Apps solutions</li> </ul> <h3>3 - Design a data storage solution for non-relational data</h3> <ul> <li>Design for data storage</li> <li>Design for Azure storage accounts</li> <li>Design for data redundancy</li> <li>Design for Azure Blob Storage</li> <li>Design for Azure Files</li> <li>Design for Azure managed disks</li> <li>Design for storage security</li> </ul> <h3>4 - Design a data storage solution for relational data</h3> <ul> <li>Design for Azure SQL Database</li> <li>Design for Azure SQL Managed Instance</li> <li>Design for SQL Server on Azure Virtual Machines</li> <li>Recommend a solution for database scalability</li> <li>Recommend a solution for database availability</li> <li>Design security for data at rest, data in motion, and data in use</li> <li>Design for Azure SQL Edge</li> <li>Design for Azure Cosmos DB and Table Storage</li> </ul> <h3>5 - Design data integration</h3> <ul> <li>Design a data integration solution with Azure Data Factory</li> <li>Design a data integration solution with Azure Data Lake</li> <li>Design a data integration and analytic solution with Azure Databricks</li> <li>Design a data integration and analytic solution with Azure Synapse Analytics</li> <li>Design strategies for hot, warm, and cold data paths</li> <li>Design an Azure Stream Analytics solution for data analysis</li> </ul> <h3>6 - Design an application architecture</h3> <ul> <li>Describe message and event scenarios</li> <li>Design a messaging solution</li> <li>Design an Azure Event Hubs messaging solution</li> <li>Design an event-driven solution</li> <li>Design a caching solution</li> <li>Design API integration</li> <li>Design an automated app deployment solution</li> <li>Design an app configuration management solution</li> </ul> <h3>7 - Design authentication and authorization solutions</h3> <ul> <li>Design for identity and access management (IAM)</li> <li>Design for Microsoft Entra ID</li> <li>Design for Microsoft Entra business-to-business (B2B)</li> <li>Design for Azure Active Directory B2C (business-to-customer)</li> <li>Design for conditional access</li> <li>Design for identity protection</li> <li>Design for access reviews</li> <li>Design service principals for applications</li> <li>Design managed identities</li> <li>Design for Azure Key Vault</li> </ul> <h3>8 - Design a solution to log and monitor Azure resources</h3> <ul> <li>Design for Azure Monitor data sources</li> <li>Design for Azure Monitor Logs (Log Analytics) workspaces</li> <li>Design for Azure Workbooks and Azure insights</li> <li>Design for Azure Data Explorer</li> </ul> <h3>9 - Design network solutions</h3> <ul> <li>Recommend a network architecture solution based on workload requirements</li> <li>Design patterns for Azure network connectivity services</li> <li>Design outbound connectivity and routing</li> <li>Design for on-premises connectivity to Azure Virtual Network</li> <li>Choose an application delivery service</li> <li>Design for application delivery services</li> <li>Design for application protection services</li> </ul> <h3>10 - Design a solution for backup and disaster recovery</h3> <ul> <li>Design for backup and recovery</li> <li>Design for Azure Backup</li> <li>Design for Azure blob backup and recovery</li> <li>Design for Azure files backup and recovery</li> <li>Design for Azure virtual machine backup and recovery</li> <li>Design for Azure SQL backup and recovery</li> <li>Design for Azure Site Recovery</li> </ul> <h3>11 - Design migrations</h3> <ul> <li>Evaluate migration with the Cloud Adoption Framework</li> <li>Describe the Azure migration framework</li> <li>Assess your on-premises workloads</li> <li>Select a migration tool</li> <li>Migrate your structured data in databases</li> <li>Select an online storage migration tool for unstructured data</li> <li>Migrate offline data</li> </ul> <h3>12 - Introduction to the Microsoft Azure Well-Architected Framework</h3> <ul> <li>Azure Well-Architected Framework pillars</li> <li>Cost optimization</li> <li>Operational excellence</li> <li>Performance efficiency</li> <li>Reliability</li> <li>Security</li> </ul> <h3>13 - Microsoft Azure Well-Architected Framework - Cost Optimization</h3> <ul> <li>Develop cost-management discipline</li> <li>Design with a cost-efficiency mindset</li> <li>Design for usage optimization</li> <li>Design for rate optimization</li> <li>Monitor and optimize over time</li> </ul> <h3>14 - Microsoft Azure Well-Architected Framework - Operational excellence</h3> <ul> <li>Embrace DevOps culture</li> <li>Establish development standards</li> <li>Evolve operations with observability</li> <li>Deploy with confidence</li> <li>Automate for efficiency</li> <li>Adopt safe deployment practices</li> </ul> <h3>15 - Microsoft Azure Well-Architected Framework - Performance efficiency</h3> <ul> <li>Negotiate realistic performance targets</li> <li>Design to meet capacity requirements</li> <li>Achieve and sustain performance</li> <li>Improve efficiency through optimization</li> </ul> <h3>16 - Microsoft Azure Well-Architected Framework - Reliability</h3> <ul> <li>Design for business requirements</li> <li>Design for resilience</li> <li>Design for recovery</li> <li>Design for operations</li> <li>Keep it simple</li> </ul> <h3>17 - Microsoft Azure Well-Architected Framework - Security</h3> <ul> <li>Plan your security readiness</li> <li>Design to protect confidentiality</li> <li>Design to protect integrity</li> <li>Design to protect availability</li> <li>Sustain and evolve your security posture</li> </ul> <h3>18 - Getting started with the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Common blockers</li> </ul> <h3>19 - Prepare for successful cloud adoption with a well-defined strategy</h3> <ul> <li>Customer narrative</li> <li>Capture strategic motivation</li> <li>Define objectives and key results</li> <li>Evaluate financial considerations</li> <li>Understand technical considerations</li> <li>Create a business case</li> </ul> <h3>20 - Prepare for cloud adoption with a data-driven plan</h3> <ul> <li>Customer narrative</li> </ul> <h3>21 - Choose the best Azure landing zone to support your requirements for cloud operations</h3> <ul> <li>Customer narrative</li> <li>Common operating models</li> <li>Design areas for Azure landing zones</li> <li>Design principles for Azure landing zones</li> <li>Journey to the target architecture</li> <li>Choose an Azure landing zone option</li> <li>Deploy the Azure landing zone accelerator</li> <li>Enhance your landing zone</li> </ul> <h3>22 - Migrate to Azure through repeatable processes and common tools</h3> <ul> <li>Customer narrative</li> <li>Migration process</li> <li>Migration tools</li> <li>Common tech platforms</li> </ul> <h3>23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Govern methodology</li> <li>Corporate policies</li> <li>Governance disciplines</li> <li>Deploy a cloud governance foundation</li> <li>The Cost Management discipline</li> </ul> <h3>24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud</h3> <ul> <li>Establish business commitments</li> <li>Deploy an operations baseline</li> <li>Protect and recover</li> <li>Enhance an operations baseline</li> <li>Manage platform and workload specialization</li> </ul> <h3>25 - Innovate applications by using Azure cloud technologies</h3> <ul> <li>Follow the innovation lifecycle</li> <li>Azure technologies for the build process</li> <li>Infuse your applications with AI</li> <li>Azure technologies for measuring business impact</li> <li>Azure technologies for the learn process</li> </ul> <h3>26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Methodology</li> <li>Security roles and responsibilities</li> <li>Simplify compliance and security</li> <li>Simplify security implementation</li> <li>Security tools and policies</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the AZ-305T00: Designing Microsoft Azure Infrastructure Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AZ-305T00 Designing Microsoft Azure Infrastructure Solutions

General Admission

Packt

Scala

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

Scala & Spark-Master Big Data with Scala and Spark

<strong>This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.</strong>
        <p>Modern applications often need to describe complex workflows involving multiple external systems. These are notoriously difficult to get right as it requires handling errors, various retry strategies, and non-determinism because of concurrent executions. In this course, you will learn how to solve this problem using both imperative and functional programming.

This course is divided into three parts.

The first part covers building a CLI tool imperatively. Here, you will learn how to test code with external dependencies, handle errors, and retry if something goes wrong. One of the goals of the section is to discover how functional programmers came up with the notion of IO. It's the commonest way to action the functional programming world.

In the next part, you will create and implement an IO class from scratch; this will solve two different problems, of which one is searching for a flight aggregator. In the final part, you will extend IO to execute tasks concurrently. Here, you will be looking to add concurrency methods to IO implementation so that you can execute some tasks in the background.

By the end of the course, you will be able to read and write code using popular Scala libraries such as cats-effect, Monix, and ZIO. This skill is in high demand.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>What You Will Learn</h2><p>Install SBT, Scala, and IntelliJ IDEA<br>Understand the difference between IO (cats-effect, Monix, ZIO) and Future<br>Learn to use lazy evaluation to repeat actions and execute code concurrently<br>Write property-based tests for real-world examples<br>Understand the dangers of blocking code in a concurrent environment<br>Execute a project on flight search aggregator</p>
        <h2>Audience</h2><p>This course is designed for developers interested in concurrency, functional programming, and backend developers. Scala developers more familiar with Akka, Play, and Future will also gain a lot from this course. Individuals who want to gain the skills to join one of the many companies using functional Scala and learn to think functionally will be best suited to this course.<br><br>You will need to have moderate programming experience with Scala. The author will take you through downloading and installing SBT, Scala, and an IDE.</p>
        <h2>Approach</h2><p>This course is designed with a practical and hands-on approach. In this course, you will write lots of Scala code, test it using both example-based and property-based tests, experience issues caused by blocking logic and concurrent execution, and work your way to efficient solutions in small and incremental steps. The author guides you through all the exercises and provides a complete set of solutions.</p>
        <h2>Key Features</h2><p>Learn by demystifying complex concepts using explanations that are free of confusing jargon * Gain the skills to join one of the many companies using functional Scala * Learn to think functionally with the help of all requisite resources and learn from scratch</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>About the Author</h2><h3>Julien Truffaut</h3><p>Fp-Tower by Julien Truffaut offers online Scala courses that help in learning the practical side of functional programming, so you can improve your skills and your career. He is a programmer who specializes in functional programming and the Scala programming language. He has been conducting functional programming seminars and online courses with remarkable success for over seven years. He focuses on demystifying complex subjects through straightforward explanations free of jargon.

He is the author of Monocle, an optics library for functional Scala developers, which allows them to quickly transform and access deeply nested data structures. This is comparable to XPath or jq, except that it applies to all immutable data structures.</p>
        <h2>Course Outline</h2><h4>1. Actions with Imperative Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Console Exercise - Testing</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line.</p></td></tr><tr><td style='padding: 15px;'><p>3. Console Exercises - Error Handling</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line, making it more user-friendly using the error handling feature.</p></td></tr><tr><td style='padding: 15px;'><p>4. Evaluation</p><p style='margin: 0'>This video demonstrates how code is executed in Scala and how to delay an execution to an appropriate time. You will start by reviewing the techniques to define a code expression in Scala.</p></td></tr><tr><td style='padding: 15px;'><p>5. Console Exercises - retry and onError</p><p style='margin: 0'>This video helps you learn the concept of retrying an operation with a single higher order function and reuse to refactor the code of readDataOfBirthRetry and readSubscribeToMailingListRetry.</p></td></tr><tr><td style='padding: 15px;'><p>6. Console Exercises - Code Organization</p><p style='margin: 0'>This video demonstrates and explains code organization.</p></td></tr></tbody></table><br><h4>2. Build Your Own IO</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is an IO?</p><p style='margin: 0'>This video provides an overview about IO (Input/Output).</p></td></tr><tr><td style='padding: 15px;'><p>2. IO Composition</p><p style='margin: 0'>This video explains about IO composition.</p></td></tr><tr><td style='padding: 15px;'><p>3. For Comprehension</p><p style='margin: 0'>This video demonstrates the comprehension part.</p></td></tr><tr><td style='padding: 15px;'><p>4. Error Handling with IO</p><p style='margin: 0'>This video talks about error handling with IO.</p></td></tr><tr><td style='padding: 15px;'><p>5. Refactoring</p><p style='margin: 0'>This video explains the concept of refactoring.</p></td></tr></tbody></table><br><h4>3. Project: Search Flight Aggregator</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. First Implementation</p><p style='margin: 0'>This video provides an introduction and the project's implementation from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traverse and Sequence</p><p style='margin: 0'>This video demonstrates the concepts of traverse and sequence in this project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Concurrent IO</p><p style='margin: 0'>This video explains one of the toughest concepts, which is Concurrent IO.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Blocking IO</p><p style='margin: 0'>This video explains about Non-Blocking IO.</p></td></tr></tbody></table><br><h4>4. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You and Conclusion</p><p style='margin: 0'>This video talks about the course conclusion and helps you with the next steps.</p></td></tr></tbody></table>

Java

Programming

This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.

Supercharge Scala Future | FP-Tower

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p></p><p>This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.</p><p></p><p></p><p>This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.</p><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Transact-SQL</h3> <ul> <li>Work with schemas</li> <li>Explore the structure of SQL statements</li> <li>Examine the SELECT statement</li> <li>Work with data types</li> <li>Handle NULLs</li> </ul> <h3>2 - Sort and filter results in T-SQL</h3> <ul> <li>Sort your results</li> <li>Limit the sorted results</li> <li>Page results</li> <li>Remove duplicates</li> <li>Filter data with predicates</li> </ul> <h3>3 - Combine multiple tables with JOINs in T-SQL</h3> <ul> <li>Understand joins concepts and syntax</li> <li>Use inner joins</li> <li>Use outer joins</li> <li>Use cross joins</li> <li>Use self joins</li> </ul> <h3>4 - Write Subqueries in T-SQL</h3> <ul> <li>Understand subqueries</li> <li>Use scalar or multi-valued subqueries</li> <li>Use self-contained or correlated subqueries</li> </ul> <h3>5 - Use built-in functions and GROUP BY in Transact-SQL</h3> <ul> <li>Categorize built-in functions</li> <li>Use scalar functions</li> <li>Use ranking and rowset functions</li> <li>Use aggregate functions</li> <li>Summarize data with GROUP BY</li> <li>Filter groups with HAVING</li> </ul> <h3>6 - Modify data with T-SQL</h3> <ul> <li>Insert data</li> <li>Generate automatic values</li> <li>Update data</li> <li>Delete data</li> <li>Merge data based on multiple tables</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-080T00 Querying Data with Microsoft Transact-SQL course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Learning & Development

Teaching & Training

DP-080T00 Querying Data with Microsoft Transact-SQL

<strong>In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.</strong>
        <p>In this course, you will learn the basics of the Scala programming language; learn how Apache Spark operates on a cluster; set up discretized streams with Spark Streaming and transform them as data is received; analyze streaming data over sliding windows of time; maintain stateful information across streams of data; connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis; dump streams of data in real-time to NoSQL databases such as Cassandra; run SQL queries on streamed data in real-time; train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time; and also, package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you will be confidently creating Spark Streaming scripts in Scala and be prepared to tackle massive streams of data in a whole new way. You will be surprised at how easy Spark Streaming makes it!

All the codes and supporting files for this course are available at https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>What You Will Learn</h2><p>Process large amounts of real-time data using the Spark Streaming module<br>Create efficient Spark applications using the Scala programming language<br>Integrate Spark Streaming with various data sources<br>Integrate Spark Streaming with Spark SQL to query your data in real time<br>Train machine learning models with streaming data, and use for real-time predictions<br>Maintain stateful data across a continuous stream of input data</p>
        <h2>Audience</h2><p>If you are a student who wants to learn how to use Apache Spark or a big data professional who wants to process large amounts of data on a real-time basis, this course is for you. Some basic programming and scripting experience is required to get the most out of the course.</p>
        <h2>Approach</h2><p>This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. In this course, we will cover some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You will write and run real Spark Streaming jobs right at home on your own PC.</p>
        <h2>Key Features</h2><p>Process streams of real-time data from various sources with Spark Streaming * Query your streaming data in real-time using Spark SQL * A comprehensive tutorial with practical examples to help you develop real-time Spark applications</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>About the Author</h2><h3>Frank Kane</h3><p>Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p>In this first section, we will introduce the course and set up the development environment for Spark and Scala. We will then create our first Spark Streaming application to display live Twitter feeds.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction, and Getting Set Up</p><p style='margin: 0'>A brief introduction to the course, and then we will get your development environment for Spark and Scala all set up on your desktop. A quick test application will confirm Spark is working on your system!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Stream Live Tweets with Spark Streaming!</p><p style='margin: 0'>Get set up with a Twitter developer account and run your first Spark Streaming application to listen to and print out live Tweets as they happen!</p></td></tr></tbody></table><br><h4>2. A Crash Course in Scala</h4><p>In this section, we will take a deep dive into Scala. Even if you've never used Scala before, we will cover all of the syntax and structure that you will need to know in order to begin mining your data. We will run through flow control, functions, and data structures with numerous examples throughout so that you can see everything in action and make sure you're understanding it.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Scala Basics</p><p style='margin: 0'>We start our crash course in the Scala programming language by covering some basics of the language: types and variables, printing, and Boolean comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Flow Control in Scala</p><p style='margin: 0'>Our Scala crash course continues, illustrating various means of flow control in Scala. For loops, do/while loops, while loops and so on.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Functions in Scala</p><p style='margin: 0'>Scala is a functional programming language, and so understanding how functions work and are treated in Scala is hugely important! This lecture covers the fundamentals, and lets you put it into practice.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Exercise] Data Structures in Scala</p><p style='margin: 0'>We wrap up our Scala crash course with commonly used data structures using in Spark with Scala. Tuples, lists, and maps.</p></td></tr></tbody></table><br><h4>3. Spark Streaming Concepts</h4><p>In this section, we will introduce the core concepts of Spark and Spark Streaming. We will define and work with RDDs (Resilient Distributed Datasets) and show you examples of what they can do. RDDs are the key to understanding Spark, and therefore also Spark Streaming. This is also where we will dive deeper into Spark Streaming itself, understanding its inner workings and how the concept of windowing will enable you to aggregate and analyze data over time. Finally, we will take a look at reliability and fault tolerance with regards to Spark Streaming and a few ways in which you can maximize reliability.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Spark</p><p style='margin: 0'>Before you can learn about Spark Streaming, you need to understand how Spark itself works at a high level! This video covers the why and how of Apache Spark, of which Spark Streaming is a component.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Resilient Distributed Dataset (RDD)</p><p style='margin: 0'>The fundamental object of Spark programming is the Resilient Distributed Dataset (RDD), and this is used not just in Spark but also within Spark Streaming scripts. This lecture explains what they are and what you can do with them.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] RDD's in Action: Simple Word Count Application</p><p style='margin: 0'>Let's walk through and actually run a simple Spark script that counts the number of occurrences of each word in a book.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Spark Streaming</p><p style='margin: 0'>We finally have all the pr-requisite knowledge to start talking about Spark Streaming itself in more detail! We will cover how it works, what it's for, and its architecture.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Revisiting the PrintTweets application</p><p style='margin: 0'>Now that we know more, let's go revisit that first Spark Streaming application we ran in lecture two, and dive into how it really works.</p></td></tr><tr><td style='padding: 15px;'><p>6. Windowing: Aggregating data over longer time spans</p><p style='margin: 0'>Windowing allows you to analyze streaming data over a sliding window of time, which lets you do much more than just transform streaming data and store it someplace else. We will cover the concepts of the batch, window, and slide intervals, and how they work together to let you aggregate streaming data over some period of time.</p></td></tr><tr><td style='padding: 15px;'><p>7. Fault Tolerance in Spark Streaming</p><p style='margin: 0'>How can Spark Streaming do so much work continuously in a reliable manner? We will uncover some of its tricks for reliability, as well as tips for configuring Spark Streaming to be as reliable as possible.</p></td></tr></tbody></table><br><h4>4. Spark Streaming Examples with Twitter</h4><p>Now that we have seen the theory behind Spark Streaming, this section is dedicated to putting all of that into action. We will look at three practical examples of taking Twitter data and applying our new learning to it with file output, windowing, and live tracking, and analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Saving Tweets to Disk</p><p style='margin: 0'>We will build on our "print tweets" example to actually store the incoming tweets to disk and illustrate how Spark Streaming can handle file output.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Tracking the Average Tweet Length</p><p style='margin: 0'>Compute the average length of a tweet, using windowing in Spark Streaming.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Tracking the Most Popular Hashtags</p><p style='margin: 0'>This is a fun one! We will track the most popular hashtags in Twitter over time and watch how they change in real time!</p></td></tr></tbody></table><br><h4>5. Spark Streaming Examples with Clickstream / Apache Access Log Data</h4><p>This section will continue to look at some of the more advanced aspects of Spark Streaming, this time using Apache access logs to monitor website traffic in real time, showing the most accessed pages and flagging up and log errors as they occur. We will also use SparkSQL to query our data live. Finally, we will look at Spark 2's new structured streaming approach, and how we can use DataSets to streamline our analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Tracking the Top URL's Requested</p><p style='margin: 0'>We will simulate an incoming stream of Apache access logs and use Spark Streaming to keep track of the most-requested web pages in real time!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Alarming on Log Errors</p><p style='margin: 0'>This example will listen to an Apache access log stream and raise an alarm if too many errors are returned by the server in real time.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Integrating Spark Streaming with Spark SQL</p><p style='margin: 0'>We will integrate Spark Streaming with Spark SQL, allowing us to run SQL queries on data as it is streamed in! Again, we will use Apache logs as an example.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Structured Streaming</p><p style='margin: 0'>Spark 2.0 introduced experimental support for Structured Streaming, a new DataSet-based API for Spark Streaming that is bound to become increasingly important. Learn how it works.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Analyzing Apache Log files with Structured Streaming</p><p style='margin: 0'>As an example, we will stream Apache access logs in from a directory and use Structured Streaming to count up status codes over a one-hour moving window.</p></td></tr></tbody></table><br><h4>6. Integrating with Other Systems</h4><p>In this section, we will examine how Spark Streaming can be integrated with other popular data science systems. We will see how it can work with Apache Kafka to listen to and process messages in real time; how Apache Flume can work with Spark Streaming to process huge amounts of log data; using Amazon Kinesis with Spark Streaming to process live data on an AWS/EC2 cluster; and using Cassandra to store massive datasets and analyze them at speed. We will also cover how to write your own Data Receiver class in order to connect Spark Streaming to other proprietary systems.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Integrating with Apache Kafka</p><p style='margin: 0'>Apache Kafka is a popular and robust technology for publishing messages across a cluster on a large scale. We will show how to get Spark Streaming to listen to Kafka topics and process them in real time.</p></td></tr><tr><td style='padding: 15px;'><p>2. Integrating with Apache Flume</p><p style='margin: 0'>Flume is a popular technology for publishing log information at large scale, especially on a Hadoop cluster. We will illustrate how to set up both push-based and pull-based Flume configurations with Spark Streaming and discuss the tradeoffs of each.</p></td></tr><tr><td style='padding: 15px;'><p>3. Integrating with Amazon Kinesis</p><p style='margin: 0'>Amazon's Kinesis Streaming service is basically Kafka on AWS. If you're working with an AWS/EC2 cluster, you will want to know how to integrate Spark Streaming with Kinesis - and that's what this lecture covers.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Activity] Writing Custom Data Receivers</p><p style='margin: 0'>What if you need to integrate Spark Streaming with some proprietary system that does not have an existing connection library? Well, you can always write your own Receiver class. This example shows you how and actually lets you build and run one.</p></td></tr><tr><td style='padding: 15px;'><p>5. Integrating with Cassandra</p><p style='margin: 0'>Cassandra is a popular "NoSQL" database that can be used to provide fast access to massive data sets to real-time applications. Dumping data transformed by Spark Streaming into a Cassandra database can expose that data to your larger, real-time services. We will show you how, and actually run a simple example.</p></td></tr></tbody></table><br><h4>7. Advanced Spark Streaming Examples</h4><p>In this section, we will run through some more advanced real-world examples of Spark Streaming. We will examine tracking stateful information, machine learning with K-Means clustering, and feeding data into linear regression models.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Stateful Information in Spark Streams</p><p style='margin: 0'>Spark has the ability to track arbitrary state across streams of data as they come in, such as web sessions, running totals and so on. This example shows you how it all works, and challenges you to track your own state using our example as a baseline.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Streaming K-Means Clustering</p><p style='margin: 0'>Spark Streaming integrates with some of Spark's MLLib (Machine Learning Library) capabilities. This example creates a real-time K-Means clustering example; it does unsupervised machine learning that continually gets better as more training data feeds into it.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] Streaming Linear Regression</p><p style='margin: 0'>Spark Streaming can also feed data in real-time to linear regression models, that get better over time as more data is fed into them. This example shows linear regression in action with Spark Streaming.</p></td></tr></tbody></table><br><h4>8. Spark Streaming in Production</h4><p>This section covers how to move your applications into a production environment, using the spark-submit command to process scripts from the command line. We will also look at packaging scripts and dependencies with SBT and running code on a real cluster with Amazon's Elastic MapReduce (EMR). Finally, we will troubleshoot some code. We will see what can go wrong, and how you can identify and debug issues and tune your Spark applications for peak performance.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Packaging and Running Spark Code in Production</p><p style='margin: 0'>Your production applications won't be run from within the Scala IDE; you will need to run them from a command line, and potentially on a cluster. The spark-submit command is used for this. We will show you how to package up your application and run it using spark-submit from a command prompt.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Packaging Your Code with SBT</p><p style='margin: 0'>If your Spark Streaming application has external library dependencies that might not be already present on every machine in your cluster, the SBT tool can manage those dependencies for you, and package them into the JAR file you run with spark-submit. We will show you how it works with a real example.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running on a Real Hadoop Cluster with EMR</p><p style='margin: 0'>We will run our simple word count example on a real cluster, using Amazon's Elastic MapReduce service! This just shows you what's involved in running a Spark Streaming job on a real cluster as opposed to your desktop; there are a few parameters to Spark-submit you need to worry about and getting your scripts and data in the right place is also something you need to deal with.</p></td></tr><tr><td style='padding: 15px;'><p>4. Troubleshooting and Tuning Spark Jobs</p><p style='margin: 0'>Spark jobs rarely run perfectly, if at all, on the first try - some tuning and debugging is usually required and arriving at the right scale of your cluster is also necessary. We will cover some performance tips, and how to troubleshoot what's going on with a Spark Streaming job running on a cluster.</p></td></tr></tbody></table><br><h4>9. You Made It!</h4><p>This final section runs through some recommendations on where to learn more about Spark Streaming.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning More</p><p style='margin: 0'>Want to learn more about Spark Streaming? Here are a few books and other resources I've found valuable.</p></td></tr></tbody></table>

Apache Spark

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Developers</p>Overview<p>The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries</p><p>Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.</p></div><div id="course-pills-2"><h4>Scala Basics</h4><ul><li>Scala Background Information</li><li>Key Scala Concepts</li><li>Programming in Scala</li></ul><h4>Variables</h4><ul><li>Scala Variables</li><li>Numerical</li><li>Boolean</li><li>String</li></ul><h4>Collections</h4><ul><li>Tuples</li><li>The Collections Hierarchy</li><li>Sets</li><li>Lists</li><li>Arrays</li><li>Maps</li><li>Common Conversions</li></ul><h4>Flow Control</h4><ul><li>Looping</li><li>Iterators</li><li>Functions</li><li>Passing Functions</li><li>Collection Iteration Methods</li><li>Pattern Matching</li></ul><h4>Libraries</h4><ul><li>Classes and Objects</li><li>Packages</li><li>Import</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Just Enough Scala training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Just Enough Scala course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Just Enough Scala

Data Processing

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Apache Spark with Scala - Hands-On with Big Data!

<strong>This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.</strong>
        <p>Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities.

This course starts with an introduction to Apache Spark where you see what Apache Spark is in brief. Then, you will be installing and using Apache Spark. After that, you will look at the Spark execution model and architecture in detail. Next, you will learn the Spark programming model and developer experience. Following that, you will look at the Spark Structured API foundation, and Spark data sources and sinks. Then, you will explore Spark Data frame and dataset transformations along with aggregations in Apache Spark. Finally, you will look at the Spark Data frame joins in detail.

By the end of this course, you will understand Spark programming and apply that knowledge to build data engineering solutions.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>What You Will Learn</h2><p>Learn Apache Spark and Spark architecture<br>Look at data engineering and data processing in Spark<br>Work with data sources and sinks<br>Work with data frames, datasets, and Spark SQL<br>Use IntelliJ IDEA for Spark development and debugging<br>Understand unit testing, managing application logs, and cluster deployment</p>
        <h2>Audience</h2><p>This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark. It is also for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. It will also be beneficial for the managers and architects who do not directly work with Spark implementation, and still, they work with the people who implement Apache Spark at the ground level.<br><br>Before proceeding with the course, you will need basic knowledge of the Scala programming language.</p>
        <h2>Approach</h2><p>This is a hands-on and well-balanced course with theoretical and practical content. The course is example-driven and follows a working session-like approach. The author will be taking a live coding approach and explaining all the concepts needed along the way. The section will have a summary video at the end to revise the learned concepts.</p>
        <h2>Key Features</h2><p>A comprehensive course designed for the beginner-level for Spark programming in Scala * Deep dive into Spark 3 architecture and data engineering * Complete tested source code and examples used on Apache Spark 3.0.0 open-source distribution from the author's end</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>About the Author</h2><h3>Scholar Nest</h3><p>ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills.

Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects.

It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.</p>
        <h2>Course Outline</h2><h4>1. Apache Spark Introduction</h4><p></p><br><h4>2. Installing and Using Apache Spark</h4><p></p><br><h4>3. Spark Execution Model and Architecture</h4><p></p><br><h4>4. Spark Programming Model and Developer Experience</h4><p></p><br><h4>5. Spark Structured API Foundation</h4><p></p><br><h4>6. Spark Data Sources and Sinks</h4><p></p><br><h4>7. Spark Dataframe and Dataset Transformations</h4><p></p><br><h4>8. Aggregations in Apache Spark</h4><p></p><br><h4>9. Spark Dataframe Joins</h4><p></p><br><h4>10. Keep Learning</h4><p></p>

Hadoop

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Spark Programming in Scala for Beginners with Apache Spark 3

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Scala features and benefits</li><li>Comparing Scala with Java and other OO languages</li><li>Installing Scala and setting up the development environment</li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects</li><li>Traits, mixins, and inheritance</li><li>Companion objects and factories</li><li>Encapsulation and polymorphism</li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency</li><li>Higher-order functions and currying</li><li>Immutability and persistent data structures</li><li>Pattern matching and recursion</li></ul><h4>Having Fun with Functional Data Structures</h4><ul><li>Lists, sets, and maps in Scala</li><li>Folding and reducing operations</li><li>Stream processing and lazy evaluation For-comprehensions</li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework</li><li>Functional web routing and request handling</li><li>JSON handling with Play-JSON</li><li>Middleware and functional composition</li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library</li><li>Database configuration and setup</li><li>Querying and updating with Slick</li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components </h4><ul><li>Modular architecture and design patterns<br />Dependency injection with MacWire<br />Type classes and type-level programming<br />Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka</h4><ul><li>Introduction to Akka framework and Actor model</li><li>Actor systems and message passing</li><li>Futures and Promises</li><li>Supervision and fault tolerance</li><li></li></ul><h4>Building Confidence with Testing</h4><ul><li>Introduction to ScalaTest and ScalaCheck</li><li>Unit testing and property-based testing</li><li>Test-driven development in Scala</li><li>Mocking and integration testing</li><li></li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala</li><li>Using Java libraries in Scala projects</li><li>Converting Java collections to Scala collections</li><li>Writing Scala code that can be called from Java</li></ul><h4>Using Generative AI and GPT</h4><ul><li>Technologies in Scala Programming</li><li>Overview of GPT and generative AI</li><li>Integrating GPT with Scala applications</li><li>Use cases and practical examples</li></ul></div>

Programming Fundamentals

Programming Languages

Software Development

Fast Track to Scala Programming for OO / Java Developers (TTSCL2104)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala </h4><ul><li>Scala features and benefits </li><li>Comparing Scala with Java and other OO languages </li><li>Installing Scala and setting up the development environment </li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects </li><li>Traits, mixins, and inheritance </li><li>Companion objects and factories </li><li>Encapsulation and polymorphism </li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency </li><li>Higher-order functions and currying </li><li>Immutability and persistent data structures </li><li>Pattern matching and recursion </li></ul><h4>Having Fun with Functional Data Structures </h4><ul><li>Lists, sets, and maps in Scala </li><li>Folding and reducing operations </li><li>Stream processing and lazy evaluation </li><li>For-comprehensions </li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework </li><li>Functional web routing and request handling </li><li>JSON handling with Play-JSON Middleware and functional composition </li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library </li><li>Database configuration and setup </li><li>Querying and updating with Slick </li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components</h4><ul><li>Modular architecture and design patterns </li><li>Dependency injection with MacWire </li><li>Type classes and type-level programming </li><li>Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka </h4><ul><li>Introduction to Akka framework and Actor model </li><li>Actor systems and message passing </li><li>Futures and Promises </li><li>Supervision and fault tolerance </li></ul><h4>Building Confidence with Testing </h4><ul><li>Introduction to ScalaTest and ScalaCheck </li><li>Unit testing and property-based testing </li><li>Test-driven development in Scala </li><li>Mocking and integration testing</li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala </li><li>Using Java libraries in Scala projects </li><li>Converting Java collections to Scala collections </li><li>Writing Scala code that can be called from Java </li></ul><h4>Using Generative AI and GPT Technologies in Scala Programming</h4><ul><li>Overview of GPT and generative AI </li><li>Integrating GPT with Scala applications </li><li>Use cases and practical examples</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

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